28 citations · 28 across the 4 of their papers we have counts for
5 papers
Toeplitz Inverse Covariance based Robust Speaker Clustering for Naturalistic Audio Streams
Harishchandra Dubey, Abhijeet Sangwan, John Hansen
Speaker diarization determines who spoke and when? in an audio stream. In this study, we propose a model-based approach for robust speaker clustering using i-vectors. The ivectors…
Convolutional Neural Network-based Speech Enhancement for Cochlear Implant Recipients
Nursadul Mamun, Soheil Khorram, John H. L. Hansen
Attempts to develop speech enhancement algorithms with improved speech intelligibility for cochlear implant (CI) users have met with limited success. To improve speech enhancement…
Leveraging native language information for improved accented speech recognition
Shahram Ghorbani, John H. L. Hansen
Recognition of accented speech is a long-standing challenge for automatic speech recognition (ASR) systems, given the increasing worldwide population of bi-lingual speakers with En…
UTD-CRSS Submission for MGB-3 Arabic Dialect Identification: Front-end and Back-end Advancements on Broadcast Speech
Ahmet E. Bulut, Qian Zhang, Chunlei Zhang +2
This study presents systems submitted by the University of Texas at Dallas, Center for Robust Speech Systems (UTD-CRSS) to the MGB-3 Arabic Dialect Identification (ADI) subtask. Th…
A Speaker Diarization System for Studying Peer-Led Team Learning Groups
Harishchandra Dubey, Lakshmish Kaushik, Abhijeet Sangwan +1
Peer-led team learning (PLTL) is a model for teaching STEM courses where small student groups meet periodically to collaboratively discuss coursework. Automatic analysis of PLTL se…